{"product_id":"getml","title":"getML","description":"\u003cstyle\u003e\n.guidaio-v3 { --gv3-bg:#f6f5fb;--gv3-surface:#fff;--gv3-surface-soft:#fbfaff;--gv3-ink:#14132b;--gv3-ink-2:#2b2a4a;--gv3-muted:#6c6a8a;--gv3-line:#ecebf5;--gv3-line-2:#e0deef;--gv3-brand:#5b3df5;--gv3-brand-2:#7c63ff;--gv3-brand-soft:#efeaff;--gv3-brand-ink:#2c1d8a;--gv3-ok:#0f8a5a;--gv3-ok-soft:#e6f7ee;--gv3-warn:#b16800;--gv3-warn-soft:#fff3dc;--gv3-bad:#b3261e;--gv3-bad-soft:#fde7e6;--gv3-radius-lg:22px;--gv3-radius:16px;--gv3-radius-sm:10px;--gv3-shadow-sm:0 1px 2px rgba(20,19,43,.04);--gv3-shadow:0 12px 30px rgba(53,38,124,.07);\n  background:radial-gradient(1200px 600px at 80% -10%,rgba(124,99,255,.18),transparent 60%),radial-gradient(900px 500px at -10% 5%,rgba(91,61,245,.12),transparent 60%),var(--gv3-bg);\n  color:var(--gv3-ink);font-family:Inter,system-ui,-apple-system,\"Segoe UI\",Roboto,sans-serif;font-size:16px;line-height:1.6;-webkit-font-smoothing:antialiased;\n  max-width:1240px;margin:0 auto;padding:24px 16px 64px;border-radius:var(--gv3-radius-lg);}\n.guidaio-v3 *,.guidaio-v3 *::before,.guidaio-v3 *::after{box-sizing:border-box}\n.guidaio-v3 a{color:var(--gv3-brand);text-decoration:none}.guidaio-v3 a:hover{text-decoration:underline}\n.guidaio-v3 img{max-width:100%;display:block}\n.guidaio-v3 h1,.guidaio-v3 h2,.guidaio-v3 h3,.guidaio-v3 h4{font-family:\"Space Grotesk\",Inter,sans-serif;letter-spacing:-.01em;margin:0;color:var(--gv3-ink)}\n.guidaio-v3 svg{display:inline-block;vertical-align:middle}\n.guidaio-v3 .hero{position:relative;background:radial-gradient(700px 320px at 90% 0%,rgba(124,99,255,.18),transparent 70%),linear-gradient(180deg,#fff 0%,#fbfaff 100%);border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);box-shadow:var(--gv3-shadow);padding:32px;overflow:hidden}\n.guidaio-v3 .hero-grid{display:grid;grid-template-columns:minmax(0,1.5fr) minmax(280px,1fr);gap:28px;align-items:start}\n.guidaio-v3 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11px;border-radius:999px;font-size:12px;font-weight:600;background:#fff;border:1px solid var(--gv3-line-2);color:var(--gv3-ink-2)}\n.guidaio-v3 .badge.ok{background:var(--gv3-ok-soft);color:var(--gv3-ok);border-color:#b8e8cc}\n.guidaio-v3 .badge.warn{background:var(--gv3-warn-soft);color:var(--gv3-warn);border-color:#f1d6a3}\n.guidaio-v3 .badge.bad{background:var(--gv3-bad-soft);color:var(--gv3-bad);border-color:#f5c2c0}\n.guidaio-v3 .badge.brand{background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);border-color:#d6cdfb}\n.guidaio-v3 .tbd-row{margin-top:14px;display:grid;gap:10px}\n.guidaio-v3 .tbd-row .label{font-size:11px;font-weight:700;letter-spacing:.06em;text-transform:uppercase;color:var(--gv3-muted)}\n.guidaio-v3 .chip{display:inline-flex;align-items:center;gap:6px;padding:5px 11px;border-radius:999px;font-size:13px;border:1px solid var(--gv3-line-2);background:#fff;color:var(--gv3-ink-2)}\n.guidaio-v3 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.snapshot{background:#fff;border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);padding:20px;box-shadow:var(--gv3-shadow)}\n.guidaio-v3 .snapshot h3{font-size:13px;text-transform:uppercase;letter-spacing:.08em;color:var(--gv3-brand-ink);margin-bottom:14px}\n.guidaio-v3 .snapshot dl{margin:0;display:grid;grid-template-columns:1fr;gap:12px}\n.guidaio-v3 .snapshot .row{display:grid;grid-template-columns:1fr auto;gap:8px;padding-bottom:12px;border-bottom:1px dashed var(--gv3-line-2)}\n.guidaio-v3 .snapshot .row:last-child{border-bottom:0;padding-bottom:0}\n.guidaio-v3 .snapshot dt{color:var(--gv3-muted);font-size:13px;margin:0}\n.guidaio-v3 .snapshot dd{margin:0;text-align:right;font-weight:700;color:var(--gv3-ink);font-size:13px}\n.guidaio-v3 .snapshot dd small{display:block;font-weight:500;color:var(--gv3-muted);font-size:11px;text-align:right}\n.guidaio-v3 .price-big{font-family:\"Space Grotesk\";font-size:20px;line-height:1}\n.guidaio-v3 .toc{margin:20px 0 24px;padding:10px;background:rgba(255,255,255,.85);border:1px solid var(--gv3-line);border-radius:22px;box-shadow:var(--gv3-shadow-sm);display:flex;flex-wrap:wrap;gap:8px;overflow-x:auto}\n.guidaio-v3 .toc a{padding:8px 14px;border-radius:999px;font-size:13px;font-weight:600;color:var(--gv3-brand-ink);background:#fff;white-space:nowrap;border:1px solid var(--gv3-line-2);box-shadow:var(--gv3-shadow-sm);transition:transform .18s ease,box-shadow .18s ease,background .18s ease,color .18s ease,border-color .18s ease}\n.guidaio-v3 .toc a:hover{background:linear-gradient(135deg,var(--gv3-brand) 0%,var(--gv3-brand-2) 100%);color:#fff;border-color:transparent;transform:translateY(-2px) scale(1.04);box-shadow:0 8px 18px rgba(91,61,245,.25);text-decoration:none}\n.guidaio-v3 .justify{text-align:justify;text-justify:inter-word;hyphens:auto}\n.guidaio-v3 a.chip,.guidaio-v3 a.chip:hover{text-decoration:none}\n.guidaio-v3 a.chip{transition:transform .15s ease,box-shadow .15s ease,filter .15s ease;cursor:pointer}\n.guidaio-v3 a.chip:hover{transform:translateY(-1px);box-shadow:0 4px 10px rgba(53,38,124,.12);filter:brightness(.96)}\n.guidaio-v3 section.block{background:var(--gv3-surface);border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);padding:32px;margin-top:22px;box-shadow:var(--gv3-shadow-sm);scroll-margin-top:90px}\n.guidaio-v3 section.block.soft{background:var(--gv3-surface-soft)}\n.guidaio-v3 section.block .head{margin-bottom:20px}\n.guidaio-v3 section.block .eyebrow + h2{margin-top:10px}\n.guidaio-v3 section.block h2{font-size:24px;color:var(--gv3-ink)}\n.guidaio-v3 section.block .lead{margin-top:8px;color:var(--gv3-muted);max-width:70ch}\n.guidaio-v3 .grid-2{display:grid;grid-template-columns:repeat(2,minmax(0,1fr));gap:16px}\n.guidaio-v3 .grid-3{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:14px}\n.guidaio-v3 .rich p{margin:0 0 14px}.guidaio-v3 .rich p:last-child{margin:0}\n.guidaio-v3 ul.brand-list{list-style:none;padding:0;margin:0;display:grid;gap:10px}\n.guidaio-v3 ul.brand-list li{position:relative;padding-left:26px;color:var(--gv3-ink-2)}\n.guidaio-v3 ul.brand-list li::before{content:\"\";position:absolute;left:0;top:9px;width:14px;height:14px;border-radius:999px;background:var(--gv3-brand-soft);box-shadow:inset 0 0 0 4px var(--gv3-brand)}\n.guidaio-v3 ol.steps{list-style:none;counter-reset:s;padding:0;margin:0;display:grid;gap:14px}\n.guidaio-v3 ol.steps li{counter-increment:s;position:relative;padding-left:42px;color:var(--gv3-ink-2);min-height:30px}\n.guidaio-v3 ol.steps li::before{content:counter(s);position:absolute;left:0;top:0;width:30px;height:30px;border-radius:999px;background:linear-gradient(135deg,var(--gv3-brand) 0%,var(--gv3-brand-2) 100%);color:#fff;display:grid;place-items:center;font-weight:700;font-size:13px;box-shadow:0 6px 14px rgba(91,61,245,.25)}\n.guidaio-v3 .feature-card{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:16px;background:#fff;display:grid;gap:8px}\n.guidaio-v3 .feature-card .icbox{width:36px;height:36px;border-radius:12px;background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);display:grid;place-items:center}\n.guidaio-v3 .feature-card .ftitle{font-weight:700;color:var(--gv3-ink);font-size:15px}\n.guidaio-v3 .feature-card .fbody{color:var(--gv3-muted);font-size:13px}\n.guidaio-v3 .pc{border-radius:var(--gv3-radius);padding:20px;border:1px solid var(--gv3-line)}\n.guidaio-v3 .pc.pros{background:var(--gv3-ok-soft);border-color:#b8e8cc}\n.guidaio-v3 .pc.cons{background:var(--gv3-bad-soft);border-color:#f5c2c0}\n.guidaio-v3 .pc h3{font-size:17px;display:flex;align-items:center;gap:8px;margin-bottom:12px}\n.guidaio-v3 .pc.pros h3{color:var(--gv3-ok)}.guidaio-v3 .pc.cons h3{color:var(--gv3-bad)}\n.guidaio-v3 .pc ul{list-style:none;padding:0;margin:0;display:grid;gap:8px}\n.guidaio-v3 .pc li{display:flex;gap:8px;align-items:flex-start;color:var(--gv3-ink-2);font-size:14px}\n.guidaio-v3 .pc li svg{flex:0 0 auto;margin-top:3px}\n.guidaio-v3 .pc.pros li svg{color:var(--gv3-ok)}.guidaio-v3 .pc.cons li svg{color:var(--gv3-bad)}\n.guidaio-v3 .bestnot{display:grid;grid-template-columns:1fr 1fr;gap:16px}\n.guidaio-v3 .bestnot .card{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:20px;background:#fff}\n.guidaio-v3 .bestnot h3{display:flex;align-items:center;gap:8px;font-size:17px;margin-bottom:12px}\n.guidaio-v3 .bestnot .for h3{color:var(--gv3-ok)}.guidaio-v3 .bestnot .not h3{color:var(--gv3-warn)}\n.guidaio-v3 .plan-grid{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:14px}\n.guidaio-v3 .plan{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);padding:22px;background:#fff;display:grid;gap:10px;position:relative}\n.guidaio-v3 .plan.featured{border-color:#c7baff;background:linear-gradient(180deg,#fff 0%,#f7f3ff 100%);box-shadow:var(--gv3-shadow)}\n.guidaio-v3 .plan .pill{position:absolute;top:-12px;right:14px;background:linear-gradient(135deg,var(--gv3-brand) 0%,var(--gv3-brand-2) 100%);color:#fff;font-size:11px;font-weight:700;letter-spacing:.06em;padding:5px 9px;border-radius:999px;text-transform:uppercase}\n.guidaio-v3 .plan .pname{font-family:\"Space Grotesk\";font-weight:700;font-size:17px}\n.guidaio-v3 .plan .pprice{font-family:\"Space Grotesk\";font-size:24px;font-weight:700}\n.guidaio-v3 .plan .pprice small{font-size:13px;font-weight:500;color:var(--gv3-muted)}\n.guidaio-v3 .plan ul{list-style:none;padding:0;margin:6px 0 0;display:grid;gap:8px}\n.guidaio-v3 .plan ul li{display:flex;gap:8px;align-items:flex-start;color:var(--gv3-ink-2);font-size:14px}\n.guidaio-v3 .plan ul li svg{color:var(--gv3-brand);flex:0 0 auto;margin-top:3px}\n.guidaio-v3 .pricing-extras{margin-top:16px;display:grid;gap:10px}\n.guidaio-v3 .offer{display:flex;gap:10px;align-items:flex-start;padding:12px 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var(--gv3-line);border-radius:var(--gv3-radius);background:#fff;padding:20px}\n.guidaio-v3 .timeline{display:grid;gap:8px;margin:8px 0 0}\n.guidaio-v3 .timeline .ev{padding:10px 14px;border-radius:12px;background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);font-weight:600;font-size:14px;display:flex;align-items:center;gap:8px}\n.guidaio-v3 .social-row{display:flex;gap:8px;flex-wrap:wrap}\n.guidaio-v3 .social{width:36px;height:36px;border-radius:12px;border:1px solid var(--gv3-line-2);background:#fff;display:grid;place-items:center;color:var(--gv3-ink-2)}\n.guidaio-v3 .social:hover{background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);border-color:#d6cdfb}\n.guidaio-v3 .res-grid{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:10px}\n.guidaio-v3 .res{display:flex;gap:10px;align-items:center;padding:10px 12px;border-radius:12px;border:1px solid var(--gv3-line);background:#fff;color:var(--gv3-ink-2);font-size:13px}\n.guidaio-v3 .res:hover{border-color:#d6cdfb;background:#fbfaff;text-decoration:none}\n.guidaio-v3 .res svg{color:var(--gv3-brand);flex:0 0 auto}\n.guidaio-v3 .res .url{color:var(--gv3-muted);font-size:11px;word-break:break-all}\n.guidaio-v3 .res .res-text{display:grid}\n.guidaio-v3 .alts{display:flex;flex-wrap:wrap;gap:8px}\n.guidaio-v3 .alt{display:inline-flex;align-items:center;gap:8px;padding:9px 13px;border-radius:14px;background:#fff;border:1px solid var(--gv3-line-2);font-weight:600;color:var(--gv3-ink-2);font-size:14px}\n.guidaio-v3 .alt .av{width:24px;height:24px;border-radius:8px;background:linear-gradient(135deg,#c7baff 0%,#efeaff 100%);display:grid;place-items:center;font-size:12px;font-weight:700;color:var(--gv3-brand-ink)}\n.guidaio-v3 .faq{display:grid;gap:10px}\n.guidaio-v3 .faq details{background:#fff;border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:14px 16px}\n.guidaio-v3 .faq summary{cursor:pointer;list-style:none;font-weight:700;color:var(--gv3-ink);display:flex;justify-content:space-between;align-items:center;gap:10px;font-size:15px}\n.guidaio-v3 .faq summary::-webkit-details-marker{display:none}\n.guidaio-v3 .faq summary svg{color:var(--gv3-brand)}\n.guidaio-v3 .faq .ans{color:var(--gv3-muted);margin-top:10px;font-size:14px}\n.guidaio-v3 section.block.conclusion{background:radial-gradient(700px 320px at 0% 0%,rgba(124,99,255,.18),transparent 60%),linear-gradient(135deg,#1c163a 0%,#2c1d8a 100%);color:#fff;border-color:#2c1d8a}\n.guidaio-v3 section.block.conclusion .head h2{color:#fff}\n.guidaio-v3 section.block.conclusion .lead,.guidaio-v3 section.block.conclusion .rich p{color:rgba(255,255,255,.88)}\n.guidaio-v3 section.block.conclusion .rich strong,.guidaio-v3 section.block.conclusion .rich b{color:#fff}\n.guidaio-v3 section.block.conclusion .eyebrow{background:rgba(255,255,255,.14);color:#fff}\n.guidaio-v3 section.block.conclusion .btn-secondary{background:rgba(255,255,255,.14);color:#fff;border-color:rgba(255,255,255,.25)}\n@media (max-width:1080px){.guidaio-v3 .hero-grid,.guidaio-v3 .trust-grid,.guidaio-v3 .company-grid,.guidaio-v3 .setup-grid,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid{grid-template-columns:repeat(2,minmax(0,1fr))}}\n@media (max-width:700px){.guidaio-v3{padding:12px 8px 48px}.guidaio-v3 .hero{padding:20px}.guidaio-v3 section.block{padding:20px}.guidaio-v3 .grid-2,.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid,.guidaio-v3 .bestnot,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 h1.title{font-size:28px}}\n\u003c\/style\u003e\n\u003cdiv class=\"guidaio-v3\" itemscope itemtype=\"https:\/\/schema.org\/SoftwareApplication\"\u003e\n\u003cmeta itemprop=\"name\" content=\"getML: Automated Feature Engineering for Relational Data\"\u003e\n\u003cmeta itemprop=\"description\" content=\"getML automates feature engineering on relational and time-series data. Free open-source edition, Enterprise on quote, Python API, runs on your servers.\"\u003e\n\u003cdiv class=\"hero\"\u003e\u003cdiv class=\"hero-grid\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"hero-head\"\u003e\n\u003cdiv class=\"logo-tile\"\u003e\u003cimg src=\"https:\/\/getml.com\/latest\/assets\/brand\/getml-light.svg\" alt=\"getML logo\" itemprop=\"image\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"name-block\"\u003e\n\u003cspan class=\"eyebrow\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"m12 3-1.9 5.8a2 2 0 0 1-1.3 1.3L3 12l5.8 1.9a2 2 0 0 1 1.3 1.3L12 21l1.9-5.8a2 2 0 0 1 1.3-1.3L21 12l-5.8-1.9a2 2 0 0 1-1.3-1.3Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Devops Mlops · Database Tools\u003c\/span\u003e\u003ch1 class=\"title\" itemprop=\"name\"\u003egetML\u003c\/h1\u003e\n\u003cp class=\"lede justify\" itemprop=\"description\"\u003egetML is a machine learning suite that automates feature engineering on \u003cb\u003erelational and time-series enterprise data\u003c\/b\u003e. Five supervised feature-learning algorithms build predictive pipelines from raw multi-table data, driven entirely through a Python API installed on your own infrastructure.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"badge-row\"\u003e\n\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Active\u003c\/span\u003e\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e GDPR compliant\u003c\/span\u003e\u003cspan class=\"badge brand\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 12 20 22 4 22 4 12\"\u003e\u003c\/polyline\u003e\u003crect x=\"2\" y=\"7\" width=\"20\" height=\"5\"\u003e\u003c\/rect\u003e\u003cline x1=\"12\" y1=\"22\" x2=\"12\" y2=\"7\"\u003e\u003c\/line\u003e\u003cpath d=\"M12 7H7.5a2.5 2.5 0 0 1 0-5C11 2 12 7 12 7z\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 7h4.5a2.5 2.5 0 0 0 0-5C13 2 12 7 12 7z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Free plan · Free trial\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"22 7 13.5 15.5 8.5 10.5 2 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"16 7 22 7 22 13\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e Contact Sales\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e API available\u003c\/span\u003e\u003cspan class=\"badge brand\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Verified by Guidaio\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tbd-row\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eCategories\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip cat\" href=\"\/collections\/devops-mlops\"\u003eDevops Mlops\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/database-tools\"\u003eDatabase Tools\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/experimentation\"\u003eExperimentation\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/academic-research\"\u003eAcademic Research\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eTarget domains\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip dom\" href=\"\/collections\/data-ai\"\u003eData Ai\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/it-software\"\u003eIt Software\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/finance-banking\"\u003eFinance Banking\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/mechanical-manufacturing\"\u003eMechanical Manufacturing\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/healthcare-medicine\"\u003eHealthcare Medicine\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/retail-e-commerce\"\u003eRetail E Commerce\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/transportation\"\u003eTransportation\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/science-r-d\"\u003eScience R D\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\n\u003ca class=\"btn btn-primary\" href=\"https:\/\/getml.com\/latest\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Explore getML\u003c\/a\u003e\u003ca class=\"btn btn-secondary\" href=\"https:\/\/getml.com\/latest\/examples\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"6 3 20 12 6 21 6 3\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e Install the free edition\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003caside class=\"snapshot\"\u003e\u003ch3\u003eSnapshot\u003c\/h3\u003e\n\u003cdl\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003ePricing model\u003c\/dt\u003e\n\u003cdd\u003eContact Sales\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eFree plan\u003c\/dt\u003e\n\u003cdd\u003eYes\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eFree trial\u003c\/dt\u003e\n\u003cdd\u003eYes\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eAPI available\u003c\/dt\u003e\n\u003cdd\u003eYes\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eDeployment\u003c\/dt\u003e\n\u003cdd\u003eAPI · Desktop app\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eLanguages\u003c\/dt\u003e\n\u003cdd\u003eEnglish\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eTool status\u003c\/dt\u003e\n\u003cdd\u003eActive\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eCountry of origin\u003c\/dt\u003e\n\u003cdd\u003e🇩🇩 Germany\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003c\/dl\u003e\u003c\/aside\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cnav class=\"toc\" aria-label=\"Page sections\"\u003e\u003ca href=\"#what\"\u003eWhat is it\u003c\/a\u003e\u003ca href=\"#bestnot\"\u003eWhen to use getML \/ When not to\u003c\/a\u003e\u003ca href=\"#how\"\u003eHow to use\u003c\/a\u003e\u003ca href=\"#proscons\"\u003ePros \u0026amp; Cons\u003c\/a\u003e\u003ca href=\"#pricing\"\u003ePricing\u003c\/a\u003e\u003ca href=\"#trust\"\u003eTrust \u0026amp; Privacy\u003c\/a\u003e\u003ca href=\"#watch\"\u003eWatch-outs\u003c\/a\u003e\u003ca href=\"#setup\"\u003eSetup \u0026amp; Integrations\u003c\/a\u003e\u003ca href=\"#company\"\u003eCompany\u003c\/a\u003e\u003ca href=\"#resources\"\u003eResources\u003c\/a\u003e\u003ca href=\"#alternatives\"\u003eAlternatives\u003c\/a\u003e\u003ca href=\"#faq\"\u003eFAQ\u003c\/a\u003e\u003ca href=\"#conclusion\"\u003eConclusion\u003c\/a\u003e\u003c\/nav\u003e\n\u003csection class=\"block\" id=\"what\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOverview\u003c\/span\u003e\u003ch2\u003eWhat is getML?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"rich justify\"\u003e\u003cp\u003egetML is a machine learning suite for predictive analytics on \u003cb\u003erelational and time-series data\u003c\/b\u003e, published by Code17 GmbH in Leipzig. Its purpose is narrow and clearly stated: to remove the manual feature engineering step that stands between a corporate database and a working predictive model. At its heart are five feature-learning algorithms that automate that step using supervised learning rather than brute-force templates. Technically, the approach generalises gradient boosting to \u003ci\u003emulti-relational decision trees\u003c\/i\u003e, which lets supervised learning operate directly on raw relational data instead of a pre-flattened table. An iterative, tree-based search runs inside the relational structure to find the best combination of aggregation functions and conditions for a given target variable. The suite has three components: a Python API, an Engine, and a Monitor shipped alongside the Engine. The programming model borrows its shape from scikit-learn. A DataContainer holds the population and peripheral tables together with the train, test and validation split; a StarSchema or DataModel object captures the relationships between them; feature learners and predictors are declared separately and bundled into a Pipeline whose \u003ci\u003efit\u003c\/i\u003e, \u003ci\u003escore\u003c\/i\u003e and \u003ci\u003epredict\u003c\/i\u003e methods drive the whole process. The homepage claims three lines of Python are enough to learn from billions of candidate features. Two editions share that same API. The Community edition is open source under the Elastic License v2 and ships the FastProp learner; the Enterprise edition adds Multirel, Relboost, RelMT and Fastboost, along with memory-mapped ScaleGBM predictors for datasets that do not fit in RAM. Published figures on the homepage claim a tenfold speed-up in customer projects and accuracy gains of up to 65 percent over baseline models. The company was founded in 2017 and describes a team of more than ten engineers in Leipzig and Munich. The most recent major release, getML 1.5, was announced in November 2024 after nine months of development, and the Python package stands at version 1.5.1.\u003c\/p\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"font-size:14px;margin-bottom:12px;color:var(--gv3-brand-ink);text-transform:uppercase;letter-spacing:.08em\"\u003eWhat it does\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eGenerate features automatically from raw relational data, without writing feature engineering code\u003c\/li\u003e\n\u003cli\u003eLearn across several linked tables at once, without manually flattening them into a single view\u003c\/li\u003e\n\u003cli\u003eTrain a predictor and assemble an end-to-end prediction pipeline in a few lines of Python\u003c\/li\u003e\n\u003cli\u003eTranspile the learned features into readable SQL so they can run in production without the engine\u003c\/li\u003e\n\u003cli\u003eSearch hyperparameters with random search, Latin hypercube or Gaussian optimisation\u003c\/li\u003e\n\u003cli\u003eTrack experiments and artefacts through the MLflow integration\u003c\/li\u003e\n\u003cli\u003eHandle datasets larger than available memory using memory-mapped predictors\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"bestnot\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eAudience\u003c\/span\u003e\u003ch2\u003eWhen to use getML \/ When not to\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA quick filter to help you decide if getML is the right fit.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bestnot\"\u003e\n\u003cdiv class=\"card for\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M7 10v12\"\u003e\u003c\/path\u003e\u003cpath d=\"M15 5.88 14 10h5.83a2 2 0 0 1 1.92 2.56l-2.33 8A2 2 0 0 1 17.5 22H4a2 2 0 0 1-2-2v-8a2 2 0 0 1 2-2h2.76a2 2 0 0 0 1.79-1.11L12 2a3.13 3.13 0 0 1 3 3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When to use getML\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eData science teams modelling multi-table relational schemas, where hand-written feature logic normally takes months\u003c\/li\u003e\n\u003cli\u003eAnalysts and engineers forecasting on enterprise time series who have outgrown Prophet, tsfresh or FeatureTools\u003c\/li\u003e\n\u003cli\u003eOrganisations whose data cannot leave their own infrastructure, since the engine runs entirely on the customer's machines\u003c\/li\u003e\n\u003cli\u003ePython-fluent practitioners comfortable with a code-first workflow and no graphical assistant\u003c\/li\u003e\n\u003cli\u003eMLOps and platform engineers who need trained features transpiled into readable SQL for production deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card not\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M17 14V2\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 18.12 10 14H4.17a2 2 0 0 1-1.92-2.56l2.33-8A2 2 0 0 1 6.5 2H20a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2h-2.76a2 2 0 0 0-1.79 1.11L12 22a3.13 3.13 0 0 1-3-3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When not to use getML\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eTeams looking for a hosted SaaS product: nothing runs on the vendor's servers, you install and operate the engine yourself\u003c\/li\u003e\n\u003cli\u003eNon-technical users expecting a no-code interface, since every operation goes through the Python API\u003c\/li\u003e\n\u003cli\u003eAnyone working on free text, images or audio: the suite addresses tabular relational and time-series data only\u003c\/li\u003e\n\u003cli\u003eBuyers looking for generative AI or large language models, which the product does not touch\u003c\/li\u003e\n\u003cli\u003eOrganisations that need a published price before starting a conversation, as the Enterprise edition is quoted only through sales\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"how\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eGet started\u003c\/span\u003e\u003ch2\u003eHow to use getML\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA typical end-to-end flow, from setup to results.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003col class=\"steps\"\u003e\n\u003cli\u003eCheck the prerequisites: a 64-bit system, Python 3.8 to 3.12, and glibc 2.28 or later for a native Linux install\u003c\/li\u003e\n\u003cli\u003eOn Linux, run pip install getml, which installs both the Python API and the Engine natively\u003c\/li\u003e\n\u003cli\u003eOn macOS or Windows, set up the Docker container that runs the Engine and install the Python API with pip\u003c\/li\u003e\n\u003cli\u003eAlternatively, build the API or the Engine from source, or install from a versioned archive\u003c\/li\u003e\n\u003cli\u003eFollow the Quick Start, announced as a five-minute introduction to feature learning on a simple example\u003c\/li\u003e\n\u003cli\u003eWork through the two-hour Walkthrough, then the Concepts section for the underlying theory\u003c\/li\u003e\n\u003cli\u003eStage your data in a DataContainer, including the train, test and validation split\u003c\/li\u003e\n\u003cli\u003eDeclare the relationships between your tables with a StarSchema, or a DataModel for arbitrary complexity\u003c\/li\u003e\n\u003cli\u003eChoose feature learners and a predictor, bundle them into a Pipeline, then call fit and predict\u003c\/li\u003e\n\u003cli\u003eMove to production by transpiling the features to SQL, using the Enterprise HTTP endpoints, or wrapping the pipeline in a FastAPI service\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"proscons\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eQuick read\u003c\/span\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"pc pros\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Pros\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eRemoves the writing and maintenance of feature engineering code, which is the stated bottleneck the product targets\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eThe vendor claims a tenfold speed-up and up to 65 percent accuracy gain over baseline models on customer projects\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eThe Community edition is genuinely open source under the Elastic License v2, with demo notebooks runnable locally or on Google Colab\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eBoth editions share the same Python API, so a prototype built on Community moves to Enterprise without rewriting\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eEverything runs on the customer's own infrastructure, so training data never leaves it\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eLearned features are transpiled into readable SQL, making them auditable and deployable without the engine\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eBroad coverage of databases and file formats on the input side, and documentation split into three depths of detail\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc cons\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"4.93\" y1=\"4.93\" x2=\"19.07\" y2=\"19.07\"\u003e\u003c\/line\u003e\u003c\/svg\u003e Cons\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo price is published anywhere: the site has no pricing page at all, and the Enterprise edition is quoted only through sales\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThere is no graphical interface outside the Enterprise web frontend; everything is done in Python\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe Community edition is limited to Linux and Docker and has no hyperparameter optimisation\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe Enterprise trial is advertised but its download page still describes the 1.5.0 build as being in the final stages of testing\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe trial terms page on the site is published with a title and no body at all, and the real terms sit on a third-party Notion domain\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe privacy statement's own body says it covers a different website, and carries no resolved update date\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eFreshness signals are weak: the last blog post dates from December 2024 and documentation pages carry September and October 2024 dates\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"pricing\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003ePricing\u003c\/span\u003e\u003ch2\u003ePricing \u0026amp; Plans\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp class=\"rich justify\" style=\"color:var(--gv3-ink-2);margin:0 0 18px;max-width:80ch\"\u003eA permanent free plan exists. The getML Community edition is open source under the Elastic License v2, carries no time limit and is installed with a single pip command; community support is provided free of charge through the GitHub issue tracker and discussions, with no guaranteed response time. The Enterprise edition is proprietary and its price is not published: no figure appears anywhere on the site, the sitemap of 157 pages contains no pricing page, and the only route to a quotation is the Talk to sales form. Enterprise support is likewise described as negotiable, with guaranteed response times and a negotiable volume. A free, non-commercial trial licence for the Enterprise edition is also offered.\u003c\/p\u003e\n\u003cdiv class=\"plan-grid\"\u003e\n\u003cdiv class=\"plan\"\u003e\n\u003cdiv class=\"pname\"\u003ePlan 1\u003c\/div\u003e\n\u003cdiv class=\"pprice\"\u003egetML Community edition\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003efree\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eElastic License v2\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eLinux and Docker\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eFastProp feature learner\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003ebase preprocessors\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003elinear\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003elogistic and XGBoost predictors\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003etranspilation to readable SQL\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plan featured\"\u003e\n\u003cspan class=\"pill\"\u003eMost popular\u003c\/span\u003e\u003cdiv class=\"pname\"\u003ePlan 2\u003c\/div\u003e\n\u003cdiv class=\"pprice\"\u003egetML Enterprise edition\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eproprietary licence\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eprice not published\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eincludes everything in Community plus Multirel\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eRelboost\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eRelMT and Fastboost\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003ethe Mapping preprocessor\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eScaleGBM predictors\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003etranspilation to seven SQL dialects\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plan\"\u003e\n\u003cdiv class=\"pname\"\u003ePlan 3\u003c\/div\u003e\n\u003cdiv class=\"pprice\"\u003eCommunity Support\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003efree\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eno guaranteed response time\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eGitHub issue tracker and discussions\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"plan\"\u003e\n\u003cdiv class=\"pname\"\u003ePlan 4\u003c\/div\u003e\n\u003cdiv class=\"pprice\"\u003eEnterprise Support\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003enegotiable\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003e100 percent product coverage\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eguaranteed response times\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eprivate issue tracker and datasets\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003enegotiable volume\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eflexible scope covering deployment and MLOps advice\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003ehands-on data science support and API training\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pricing-extras\"\u003e\n\u003cdiv class=\"offer\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M2 9a3 3 0 1 1 0 6v2a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2v-2a3 3 0 1 1 0-6V7a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m9 14 6-6\"\u003e\u003c\/path\u003e\u003ccircle cx=\"9.5\" cy=\"9.5\" r=\".5\"\u003e\u003c\/circle\u003e\u003ccircle cx=\"14.5\" cy=\"14.5\" r=\".5\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003cdiv\u003e\n\u003cb\u003eSpecial offers\u003c\/b\u003e — Free trial licence for the getML Enterprise edition, restricted to non-commercial evaluation, testing and performance assessment, revocable at thirty days' notice or immediately for cause, with the software supplied as is · getML Community edition available free of charge and without time limit under the Elastic License v2\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"affiliate-note\"\u003ePrices and plans listed above may evolve. Always check the official pricing page before subscribing.\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"trust\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eTrust \u0026amp; Privacy\u003c\/span\u003e\u003ch2\u003eData, GDPR \u0026amp; hosting\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA consolidated view of how getML handles your data.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-grid\"\u003e\n\u003cdiv class=\"col\"\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eGDPR overview\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eGDPR implementation is documented, but only for the website. The privacy statement names Code17 GmbH, Philip-Reis-Strasse 11b, 04179 Leipzig, with a phone number and contact@getml.com as controller, and states that personal data is processed in compliance with the GDPR. It cites Article 6(1)(a) to (f) as legal bases, lists the rights of access, rectification, erasure, restriction, portability, objection and withdrawal of consent, and the Article 77 right to complain to a supervisory authority. Fifteen recipients are named, among them Cloudflare, Google Ireland, HubSpot, Notion and Framer. Transfers to the United States and other third countries are acknowledged under Articles 46 and 49. No data protection officer and no Article 27 representative are designated, and no data processing agreement is offered. The document's own body says it covers the website code17.io.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eWho owns the data?\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 12px\"\u003eThe published documents say almost nothing about data ownership, and that silence has a structural explanation: getML is installed and executed on the customer's own machines, through pip on Linux or a Docker container elsewhere, so the vendor never receives the data being modelled. The trial licence agreement governs only the right to use the software; it contains no clause on data, output or intellectual property in the customer's datasets. The privacy statement published by Code17 GmbH covers the website alone and names the company as controller for visitor and applicant data. No data processing agreement is published or offered anywhere on the site.\u003c\/p\u003e\n\u003ch3\u003eReuse rights\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eNothing in the published terms restricts what customers may do with their own data or with the models and features getML produces from it, because the trial licence agreement addresses only the software itself. It grants a non-transferable right to use the product for evaluation, testing and inspection, forbids passing the software to third parties and forbids commercial or production use during the trial; it says nothing about outputs. Features learned by the engine can be transpiled into readable SQL, which means the result of a training run can be lifted out and run without the product. Personal data collected through the website is used for contact handling, contract preparation, job applications, advertising, statistical analysis, website security and social-media communication, under consent, contract, legal obligation or legitimate interest. No automated decision-making or profiling with legal effect is carried out.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eData retention \u0026amp; training\u003c\/h3\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eRetention summary\u003c\/div\u003e\n\u003cdiv class=\"v justify\"\u003eThe published rules cover the website only. Personal data is kept no longer than the purpose requires: data collected with consent until that consent is withdrawn, data needed for a contract for as long as the contractual relationship lasts, and data relying on legitimate interest until the person's interest in deletion or anonymisation prevails. Unsuccessful job applications are kept for six months, a period justified by the German equal treatment act. Website log files are kept only until the session ends. Longer storage applies where European or national law requires it, with deletion once that statutory period expires. No retention period is stated for data processed by the software itself, which runs on the customer's own systems.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eSubprocessors disclosed\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e Yes\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eGDPR contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:contact@getml.com\"\u003econtact@getml.com\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"col\"\u003e\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eHosting summary\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eThe product itself hosts nothing. getML is installed and executed on the customer's own infrastructure, natively on Linux or inside a Docker container elsewhere, so the vendor receives no customer data and declares no hosting country or region for it. A targeted search across the whole collected corpus found no mention of a data centre, a hosting location or a jurisdiction for product data. For the public website, the documentation is served from GitHub Pages behind Cloudflare DNS, while the privacy statement names Framer as the website host, which matches the publisher's corporate site rather than the documentation portal. That same statement acknowledges transfers of website and applicant data to third countries, including the United States, relying on Articles 46 and 49 of the GDPR, and notes that some destinations have no adequacy decision. Fifteen recipients are named, several of them United States providers.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block watch\" id=\"watch\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eWatch-outs\u003c\/span\u003e\u003ch2\u003eThings to keep in mind\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eRisks and trade-offs to weigh before adopting getML.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cul class=\"brand-list\" style=\"grid-template-columns:repeat(2,1fr);display:grid;gap:12px 24px\"\u003e\n\u003cli\u003eThe domain is second-hand: getml.com was registered in July 2011 and its earliest web archive capture, from March 2000, serves an unrelated Japanese site. Three separate timelines coexist - domain, company and product - and none should be read as the others\u003c\/li\u003e\n\u003cli\u003eThe legal entity was registered on 1 September 2017 under a different name, The SQLNet Company GmbH, and only became Code17 GmbH in October 2023. Any search on the current name against a pre-2023 source can fail for the wrong reason\u003c\/li\u003e\n\u003cli\u003eThe privacy statement's own body says it applies to the website code17.io, although it is published and linked as the privacy policy of getml.com. Any contractual fact drawn from it is therefore revocable\u003c\/li\u003e\n\u003cli\u003eThe two Notion pages linked as Privacy Notice and Website Data Privacy Statement carry the same text, and neither shows a resolved last-update date, so the currency of the published terms cannot be checked\u003c\/li\u003e\n\u003cli\u003eThe trial terms page on the site itself is published with a heading and no body, and the Enterprise trial download is still announced as pending - do not assume a self-service trial is available today\u003c\/li\u003e\n\u003cli\u003eNo certification, no data processing agreement and no product security commitment is published, and the site never states whether customer data is used to train models. Absence of a claim is not a guarantee\u003c\/li\u003e\n\u003cli\u003eThis is code-first software you must install, operate and keep running yourself; treating it as a managed service will underestimate the engineering effort, and its automated features still require the judgement of someone who understands the underlying data\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"setup\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eSetup\u003c\/span\u003e\u003ch2\u003eSetup \u0026amp; Integrations\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-grid\"\u003e\n\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eTechnical difficulty\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eModerate, and squarely for technical users. On Linux a single pip install brings in both the Python API and the Engine; on macOS or Windows you must first set up a Docker container for the Engine. Prerequisites are a 64-bit system, Python 3.8 to 3.12 and glibc 2.28 or later. Building from source is documented but adds real work. There is no graphical assistant: everything is driven from Python. Onboarding is well signposted, with a five-minute quick start and a two-hour walkthrough, but production deployment is left to the user.\u003c\/p\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eDeployment\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\n\u003cspan class=\"flag\"\u003eAPI\u003c\/span\u003e\u003cspan class=\"flag\"\u003eDesktop app\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eIntegrations\u003c\/h3\u003e\n\u003cdiv class=\"integrations\"\u003e\n\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Docker\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e MLflow\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e FastAPI\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Google Cloud Vertex AI\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Google Colab\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e PostgreSQL\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e MySQL\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e MariaDB\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e SQLite\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Greenplum\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e SAP HANA\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Google BigQuery\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e ODBC\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Apache Spark\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Amazon S3\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Pandas\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Apache Arrow\u003c\/span\u003e\u003cspan class=\"integration\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e XGBoost\u003c\/span\u003e\n\u003c\/div\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eSupported languages\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003eEnglish\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"company\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompany\u003c\/span\u003e\u003ch2\u003eBehind getML\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-grid\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCompany name\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cb\u003eCode17 GmbH\u003c\/b\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eFounded\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e01\/09\/2017\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCountry of origin\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇩🇩 Germany\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eHeadquarters\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003ePhilipp-Reis-Str. 11b, 04179 Leipzig\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eDomain registrar country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇩🇩 Germany\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eLegal contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:hello@getml.com\"\u003ehello@getml.com\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eSupport contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:developers@getml.com\"\u003edevelopers@getml.com\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display:grid;gap:14px\"\u003e\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eSocial\u003c\/h3\u003e\n\u003cdiv class=\"social-row\"\u003e\n\u003ca class=\"social\" href=\"https:\/\/www.linkedin.com\/company\/code17-gmbh\" target=\"_blank\" rel=\"noopener\" aria-label=\"LinkedIn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-4 0v7h-4v-7a6 6 0 0 1 6-6z\"\u003e\u003c\/path\u003e\u003crect x=\"2\" y=\"9\" width=\"4\" height=\"12\"\u003e\u003c\/rect\u003e\u003ccircle cx=\"4\" cy=\"4\" r=\"2\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003ca class=\"social\" href=\"https:\/\/www.youtube.com\/@code17-gmbh\" target=\"_blank\" rel=\"noopener\" aria-label=\"YouTube\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M22.54 6.42a2.78 2.78 0 0 0-1.94-2C18.88 4 12 4 12 4s-6.88 0-8.6.46a2.78 2.78 0 0 0-1.94 2A29 29 0 0 0 1 11.75a29 29 0 0 0 .46 5.33A2.78 2.78 0 0 0 3.4 19c1.72.46 8.6.46 8.6.46s6.88 0 8.6-.46a2.78 2.78 0 0 0 1.94-2 29 29 0 0 0 .46-5.25 29 29 0 0 0-.46-5.33z\"\u003e\u003c\/path\u003e\u003cpolygon points=\"9.75 15.02 15.5 11.75 9.75 8.48 9.75 15.02\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"resources\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOfficial links\u003c\/span\u003e\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eAll the official URLs gathered for verification and reference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"res-grid\"\u003e\n\u003ca class=\"res\" href=\"https:\/\/getml.com\/latest\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20\"\u003e\u003c\/path\u003e\u003cpath d=\"M2 12h20\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eHomepage\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003egetml.com\/latest\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/getml.com\/latest\/enterprise\/feature-list\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"12 2 2 7 12 12 22 7 12 2\"\u003e\u003c\/polygon\u003e\u003cpolyline points=\"2 17 12 22 22 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"2 12 12 17 22 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eFeatures\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003egetml.com\/latest\/enterprise\/feature-list\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/getml.com\/latest\/about\/company\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"12\" y1=\"16\" x2=\"12\" y2=\"12\"\u003e\u003c\/line\u003e\u003cline x1=\"12\" y1=\"8\" x2=\"12.01\" y2=\"8\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eAbout\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003egetml.com\/latest\/about\/company\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/getml.com\/latest\/contact\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003crect x=\"2\" y=\"4\" width=\"20\" height=\"16\" rx=\"2\"\u003e\u003c\/rect\u003e\u003cpath d=\"m22 7-10 5L2 7\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eContact\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003egetml.com\/latest\/contact\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/getml.com\/latest\/examples\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"6 3 20 12 6 21 6 3\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eDemo\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003egetml.com\/latest\/examples\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/getml.notion.site\/Testlizenz-Vereinbarung-Trial-License-Agreement-e03d5e7f49404781aa4e469d3486026c\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z\"\u003e\u003c\/path\u003e\u003cpolyline points=\"14 2 14 8 20 8\"\u003e\u003c\/polyline\u003e\u003cline x1=\"16\" y1=\"13\" x2=\"8\" y2=\"13\"\u003e\u003c\/line\u003e\u003cline x1=\"16\" y1=\"17\" x2=\"8\" y2=\"17\"\u003e\u003c\/line\u003e\u003cpolyline points=\"10 9 9 9 8 9\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eTerms\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003egetml.notion.site\/Testlizenz-Vereinbarung-Trial-License-Agreement-e03d5e7f49404781aa4e469d3486026c\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/getml.notion.site\/Privacy-Notice-ce7fa0997ed94701a51cbb7dc1d0314a\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003ePrivacy policy\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003egetml.notion.site\/Privacy-Notice-ce7fa0997ed94701a51cbb7dc1d0314a\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/getml.com\/latest\/reference\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M2 3h6a4 4 0 0 1 4 4v14a3 3 0 0 0-3-3H2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M22 3h-6a4 4 0 0 0-4 4v14a3 3 0 0 1 3-3h7z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eAPI documentation\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003egetml.com\/latest\/reference\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"alternatives\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompare\u003c\/span\u003e\u003ch2\u003eAlternatives\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eTools that compete with or complement getML.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"alts\"\u003e\n\u003cspan class=\"alt\"\u003e\u003cspan class=\"av\"\u003eP\u003c\/span\u003e Prophet\u003c\/span\u003e\u003cspan class=\"alt\"\u003e\u003cspan class=\"av\"\u003eT\u003c\/span\u003e tsfresh\u003c\/span\u003e\u003cspan class=\"alt\"\u003e\u003cspan class=\"av\"\u003eF\u003c\/span\u003e FeatureTools\u003c\/span\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"faq\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eFAQ\u003c\/span\u003e\u003ch2\u003eFrequently asked questions\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq\"\u003e\n\u003cdetails\u003e\u003csummary\u003eWho publishes getML? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eCode17 GmbH, based in Leipzig, Germany, registered at the Leipzig local court under HRB 34030. The company was founded in 2017 by Dr Patrick Urbanke and Alexander Uhlig and describes a team of more than ten engineers in Leipzig and Munich.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat kind of data does getML work on? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eRelational data spread across several linked tables, and time series. It does not handle free text, images or audio, and it is not a large language model or a generative AI product.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there a free version? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes. The getML Community edition is open source under the Elastic License v2, has no time limit and is installed with pip install getml. It ships the FastProp feature learner and connectors for SQLite, MySQL, MariaDB and PostgreSQL.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow much does the Enterprise edition cost? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo price is published. The site has no pricing page, no amount appears anywhere in its 157 indexed pages, and the only route to a figure is the Talk to sales form. Enterprise support is described as negotiable.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhich systems can getML be installed on? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eLinux natively on amd64 or arm with glibc 2.28 or later, installed through pip. macOS and Windows run the Engine in a Docker container with the Python API installed separately. Python 3.8 to 3.12 is supported.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes getML provide an API? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes. The Python API is the primary interface and is fully documented, an Engine command-line interface is provided, and the Enterprise edition adds built-in HTTP endpoints. There is no API hosted by the vendor, since the software runs on your own machines.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes my data leave my infrastructure? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo. The Engine and the Python API are installed and executed on the customer's own systems, so the vendor never receives the data being modelled. No hosting country or region for customer data is declared anywhere on the site.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eCan the Enterprise edition be trialled? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eA free trial licence for non-commercial evaluation is published, revocable at thirty days' notice. The download page, however, still describes the getML 1.5.0 Enterprise build as being in the final stages of testing, with notification promised once it becomes available.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhat does getML integrate with? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eMLflow for experiment tracking, FastAPI for serving pipelines, Google Cloud Vertex AI for deployment, Docker and Google Colab, and databases including PostgreSQL, MySQL, MariaDB, SQLite, Greenplum, SAP HANA, BigQuery and ODBC sources.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eDoes the publisher disclose its subprocessors? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes, for the website. Fifteen providers are named in the privacy statement, including Cloudflare, Google Ireland Limited, HubSpot, Notion, Framer, Hotjar, FullStory, LinkedIn, Livestorm and Clearbit.\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block conclusion\" id=\"conclusion\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eConclusion\u003c\/span\u003e\u003ch2\u003eShould you pick getML?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rich justify\" style=\"max-width:80ch\"\u003e\u003cp\u003egetML is a narrow, technically serious product. It does one thing - automated feature engineering on relational and time-series data - and it does so with proprietary algorithms, a patent filed in 2020 and published benchmarks against featuretools, tsfresh and Prophet rather than marketing claims alone. The architecture is unusual in a market dominated by hosted services: the engine runs on the customer's own machines, so training data never reaches the vendor, and learned features are transpiled into readable SQL that outlives the tool itself. For a data science team fluent in Python and responsible for its own infrastructure, that combination is genuinely attractive. The commercial side is far less legible. There is a real open-source entry point in the Community edition, but the paid door is entirely opaque: no pricing page exists anywhere on the site, no amount appears in any of its 157 indexed pages, and Enterprise support is described only as negotiable. Buyers who need a figure before opening a conversation will not find one. Several documentary gaps deserve attention. The trial terms page on the site is published empty, the real legal documents sit on a third-party Notion domain without a resolved update date, and the privacy statement's own text says it covers a different website. No data processing agreement, certification or product security commitment is published. Freshness signals are also weak: the last blog post dates from December 2024, documentation pages carry autumn 2024 dates, and the advertised Enterprise trial download is still described as not yet available. The verdict is therefore conditional. The technology is credible and the free edition lets anyone verify that for themselves at no cost. The commercial and contractual layer around it needs direct clarification with the publisher before any production commitment.\u003c\/p\u003e\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\n\u003ca class=\"btn btn-primary\" href=\"https:\/\/getml.com\/latest\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit getML\u003c\/a\u003e\u003ca class=\"btn btn-secondary\" href=\"https:\/\/getml.com\/latest\/examples\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"6 3 20 12 6 21 6 3\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e Watch the demo\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Code17 GmbH","offers":[{"title":"Default Title","offer_id":58389627437387,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/files\/official-getml-by-guidaio_0e9b657d-cbde-4c09-afbd-4872337c7e95.png?v=1788730629","url":"https:\/\/guidaio.com\/products\/getml","provider":"Guidaio","version":"1.0","type":"link"}